Why This Market Keeps Rising When the Headlines Say It Should Fall

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Zion Zhao Real Estate | 88844623 | 狮家社小赵 | wa.me/6588844623 |  https://linktr.ee/zionzhao

This post is for general information, education, and market literacy only. It does not constitute financial, investment, trading, legal, tax, accounting, or other professional advice, and is not an offer, solicitation, recommendation, or endorsement. Views expressed are personal, general in nature, and subject to change without notice. While reasonable care is taken, no representation or warranty is given as to accuracy, completeness, or reliability. Readers should conduct independent due diligence and seek professional advice. To the fullest extent permitted by law, no liability is accepted for any loss arising from reliance on this material. 

YEAR TILL DATE PERFORMANCE HEATMAP

1 WEEK PERFORMANCE HEATMAP

The Bull Market Is Not Blind. But It Is Becoming More Selective

The stock market keeps going up because this is no longer a simple liquidity rally. It is a battle between macro anxiety and earnings reality. One sentence to frame today's market would be one that looks contradictory on the surface: inflation remains sticky, oil prices are elevated, Treasury yields are pressuring valuation models, options activity is aggressive, and yet the S&P 500 and Nasdaq continue to push record highs. That is not normal textbook behaviour, but it is also not automatically irrational. The market is increasingly saying one thing clearly: earnings, cash flow and artificial intelligence capital expenditure matter more than macro fear, at least for now.

The correct interpretation is not “everything is a bubble” or “everything is cheap.” This is a selective bull market with euphoric edges. The index may be supported by real corporate strength, but pockets of speculation are clearly visible. Nvidia, Microsoft, Cisco, Micron, ServiceNow, Salesforce and Shopify are not the same as newly listed artificial intelligence concept stocks, leveraged products, speculative space proxies or early-stage humanoid robotics narratives. Some companies are monetising the artificial intelligence infrastructure cycle today. Others are being valued on what investors hope they might become tomorrow. That distinction is critical.

Nvidia remains the centre of gravity because its story is backed by revenue, margins, data centre demand and structural compute scarcity. The company is not merely riding an artificial intelligence theme. It is supplying the hardware, networking architecture and accelerated computing foundation behind the theme (Nvidia, 2026). Still, even the strongest company can become vulnerable if expectations become too perfect. Great fundamentals do not eliminate valuation risk.

Cisco’s resurgence is equally important because it proves the artificial intelligence trade is broadening beyond graphics processing units. Data centres need switches, routers, optics, cybersecurity, observability and subscription-based infrastructure. Artificial intelligence is not just a semiconductor cycle. It is a networking, memory, power, cooling, software and security cycle. Cisco’s strong artificial intelligence infrastructure orders suggest that investors are beginning to recognise the second-order beneficiaries of the boom (Cisco, 2026).

Micron captures the next debate. Memory demand is rising because artificial intelligence workloads require more high-bandwidth memory, storage and data movement. The bullish case is that this is a structural cycle supported by hyperscaler demand. The bearish case is that memory remains historically cyclical, vulnerable to overcapacity and margin compression. The truth is likely somewhere in between. Micron may benefit significantly from the current buildout, but investors must remain alert to supply discipline, contract durability and earnings sustainability (Micron Technology, 2026).

Enterprise software looks less exciting than semiconductors, but it may be underappreciated. ServiceNow and Salesforce do not need to be fashionable to be valuable. They sit inside mission-critical corporate workflows, compliance processes, sales operations and enterprise technology stacks. The market may be too quick to assume artificial intelligence will destroy incumbent software. In reality, artificial intelligence may strengthen the platforms that become control layers for enterprise automation. ServiceNow offers stronger growth and embedded workflow relevance, while Salesforce offers recurring revenue, cash flow and shareholder returns (ServiceNow, 2026; Salesforce, 2026).

The speculative side of the market cannot be ignored. Rocket Lab is a powerful example of scarcity value. Public investors want exposure to the space economy, and Rocket Lab offers one of the few liquid proxies. That can justify a premium, but not unlimited valuation discipline. If the thesis depends heavily on SpaceX comparison, future profitability and investor enthusiasm, then execution risk remains high. A proxy premium is not the same as proven earnings power.

Humanoid robotics may become one of the largest long-term industrial opportunities, but it remains an early commercial thesis. Warehouses, logistics, healthcare support, eldercare and domestic labour could all be transformed if robots become safe, reliable and economically viable. However, the gap between viral demonstrations and mass adoption remains wide. Investors should separate the size of the dream from the timing of commercial reality.

Shopify is another serious battleground. Its merchant ecosystem, payments infrastructure and commerce operating system remain high quality. Yet artificial intelligence agents, marketplaces and social commerce could reshape discovery and checkout behaviour. Shopify can still win, but it must prove that artificial intelligence expands its moat rather than weakens its control over the merchant relationship (Shopify, 2026).

The market’s biggest risk is not one bad inflation print. It is an earnings or guidance break in the artificial intelligence supply chain. If hyperscalers slow capital expenditure, if Nvidia disappoints, if memory pricing weakens, or if investors begin questioning returns on artificial intelligence infrastructure, the market could reprice quickly. High expectations create fragile conditions.

My conclusion is disciplined optimism. This is not blind euphoria, but it is not a cheap market either. The artificial intelligence cycle is real. Corporate earnings remain resilient. Infrastructure demand is broadening. However, valuation, cash flow, balance sheet strength and execution still matter. Investors should respect the bull market without worshipping it. The winners will not simply be the companies with the best stories. They will be the companies that convert those stories into durable profits.

References

Cisco. (2026). Cisco reports third quarter earnings. Cisco Investor Relations.

Micron Technology. (2026). Micron Technology, Inc. reports results for the second quarter of fiscal 2026. Micron Investor Relations.

Nvidia. (2026). NVIDIA announces financial results for fourth quarter and fiscal 2026. Nvidia Newsroom.

Salesforce. (2026). Salesforce delivers record fourth quarter fiscal 2026 results. Salesforce Investor Relations.

ServiceNow. (2026). ServiceNow reports first quarter 2026 financial results. ServiceNow Investor Relations.

Shopify. (2026). Shopify delivers again as merchants clear $100 billion in Q1 GMV. Shopify Investor Relations.

Artificial Intelligence Is Still Driving Markets, But Valuation Discipline Matters More Than Ever

Markets keep climbing because earnings, cash flow and artificial intelligence infrastructure still outweigh inflation, oil and rate fears. Yet this is not a blanket bull market. Winners are companies converting artificial intelligence demand into profits. Risks sit in speculative stories priced for perfection without cash flow discipline today.

In a market where equities keep rising despite inflation, oil shocks, high yields and geopolitical uncertainty, the lesson for Singapore property buyers, sellers, landlords, tenants and investors is clear: asset decisions must be made with discipline, not emotion.

The same principle applies to Singapore real estate. Property prices are not driven by headlines alone. They are shaped by interest rates, liquidity, household balance sheets, rental demand, policy direction, land supply, immigration flows, global capital movement and investor psychology. Whether you are buying your first home, upgrading, selling, renting, restructuring your portfolio, or seeking a safe-haven asset in Singapore, the key is not to chase the market blindly. The key is to understand where value, risk and timing truly meet.

As a Singapore Real Estate agent with a multidisciplinary background in property, macroeconomics, global markets, asset allocation and technical analysis, I help clients look beyond surface-level price movements. My role is to connect market cycles with property strategy, so you can make clearer, calmer and better-informed decisions in a complex environment.

For buyers, this means identifying sustainable entry points. For sellers, it means positioning your property with stronger pricing logic and market timing. For landlords and tenants, it means understanding rental demand, affordability and negotiation leverage. For investors, it means assessing property not in isolation, but as part of a broader wealth and risk-management framework.

If you are planning to buy, sell, rent or invest in Singapore property, engage a professional who understands both real estate and the wider financial markets.

Follow, like, collect and subscribe to my social media channels for more Singapore property insights, market analysis and practical strategies to help you navigate today’s fast-changing asset landscape with confidence.

Note: This content is for general educational and market commentary only. It is not financial, legal or tax advice. Please seek professional advice before making property or investment decisions.